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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ojrdrt</journal-id><journal-title-group><journal-title xml:lang="ru">Онкологический журнал: лучевая диагностика, лучевая терапия</journal-title><trans-title-group xml:lang="en"><trans-title>Journal of oncology: diagnostic radiology and radiotherapy</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2587-7593</issn><issn pub-type="epub">2713-167X</issn><publisher><publisher-name>НЕКОММЕРЧЕСКОЕ ПАРТНЕРСТВО «ОБЩЕСТВО ИНТЕРВЕНЦИОННЫХ ОНКОРАДИОЛОГОВ»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.37174/2587-7593-2026-9-2-45-51</article-id><article-id custom-type="elpub" pub-id-type="custom">ojrdrt-545</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ЛУЧЕВАЯ ДИАГНОСТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>DIAGNOSTIC RADIOLOGY</subject></subj-group></article-categories><title-group><article-title>Магнитно-резонансная томография в диагностике заболеваний молочной железы. Критерии и неопределенности оценок</article-title><trans-title-group xml:lang="en"><trans-title>Magnetic Resonance Imaging in the Diagnosis of Breast Diseases. The Criteria of Assesments</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0065-697X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Каушанская</surname><given-names>С. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Kaushanskaya</surname><given-names>S. Y.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Каушанская Светлана Юрьевна</p><p>123098, Москва, ул. Маршала Новикова 23</p><p>+7(996)964-58-82</p></bio><bio xml:lang="en"><p>Svetlana Y. Kaushanskaya</p><p>23 Marshal Novikov Str., Moscow, 123098</p><p>+7(996)964-58-82</p></bio><email xlink:type="simple">kaushanskay78@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7108-1774</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Удалов</surname><given-names>Ю. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Udalov</surname><given-names>Y. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>123098, Москва, ул. Маршала Новикова 23</p></bio><bio xml:lang="en"><p>23 Marshal Novikov Str., Moscow, 123098</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5917-7706</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Маткевич</surname><given-names>Е. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Matkevich</surname><given-names>E. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>123098, Москва, ул. Маршала Новикова 23</p></bio><bio xml:lang="en"><p>Elena I. Matkevich</p><p>23 Marshal Novikov Str., Moscow, 123098</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Федеральный медицинский биофизический центр им. А.И. Бурназяна</institution><country>Россия</country></aff><aff xml:lang="en"><institution>State Research Center – Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency (SRC-FMBC)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>14</day><month>06</month><year>2026</year></pub-date><volume>9</volume><issue>2</issue><fpage>45</fpage><lpage>51</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Каушанская С.Ю., Удалов Ю.Д., Маткевич Е.И., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Каушанская С.Ю., Удалов Ю.Д., Маткевич Е.И.</copyright-holder><copyright-holder xml:lang="en">Kaushanskaya S.Y., Udalov Y.D., Matkevich E.I.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.oncoradjournal.ru/jour/article/view/545">https://www.oncoradjournal.ru/jour/article/view/545</self-uri><abstract><sec><title>Актуальность</title><p>Актуальность: Заболевания молочной железы остаются одной из ведущих причин онкологической заболеваемости у женщин, что определяет необходимость совершенствования методов ранней диагностики и дифференциальной оценки патологических изменений. Магнитно-резонансная томография (МРТ) с динамическим контрастным усилением занимает ключевое место в визуализации очаговых и инфильтративных форм поражений молочной железы, особенно у пациенток с плотной железистой тканью и повышенным онкологическим риском. Обновление системы BI-RADS v2025 требует переосмысления критериев интерпретации МРТ-данных и их клинического применения.</p></sec><sec><title>Цель</title><p>Цель: Проанализировать и систематизировать критерии и неопределённости оценок при применении МРТ в диагностике и дифференциальной диагностике заболеваний молочной железы с учетом обновленных рекомендаций BI-RADS v2025.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы: Проведен анализ отечественных и зарубежных публикаций за 2021–2025 гг. по данным баз PubMed, Scopus и eLibrary.ru. Рассмотрены методические аспекты мультипараметрической МРТ молочных желез, включая динамическое контрастное усиление, диффузионно-взвешенную МРТ с расчетом коэффициента диффузии (ADC) и оценку морфологических признаков в соответствии с BI-RADS v2025.</p></sec><sec><title>Результаты</title><p>Результаты: Показано, что внедрение обновленных описаний МРТ BI-RADS v2025, включая стандартизацию параметров исследования, уточнение критериев краев и периферического усиления, а также формализацию сигнала на T2-взвешенных изображениях повышает воспроизводимость интерпретации и диагностическую специфичность метода. МРТ демонстрирует высокую чувствительность при выявлении как очаговых, так и инфильтративных форм рака молочной железы, а интеграция МРТ с вакуумной аспирационной биопсией позволяет оптимизировать диагностический и лечебный алгоритмы при неопределенных и подозрительных находках.</p></sec><sec><title>Заключение</title><p>Заключение: МРТ молочных желез является ключевым инструментом персонализированной диагностики заболеваний молочной железы, превосходя традиционные методы визуализации по чувствительности и информативности. Обновление BI-RADS v2025 способствует снижению вариабельности интерпретации и гипердиагностики, а также расширяет возможности клинического применения МРТ в скрининге, дифференциальной диагностике и мониторинге лечения пациенток с различным уровнем онкологического риска.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Relevance</title><p>Relevance: Breast diseases remain one of the leading causes of cancer morbidity among women, which necessitates improvement of early diagnostic methods and differential assessment of pathological changes. Dynamic contrast-enhanced magnetic resonance imaging (MRI) plays a key role in detecting focal and infiltrative breast lesions, especially in patients with dense breast tissue and elevated oncologic risk. The update of the BI-RADS v2025 system requires reconsideration of MRI interpretation criteria and their clinical application.</p></sec><sec><title>Purpose</title><p>Purpose: To analyse and systematise criteria and uncertainties in MRI assessment for diagnosis and differential diagnosis of breast diseases considering updated BI-RADS v2025 recommendations.</p></sec><sec><title>Materials and methods</title><p>Materials and methods: Publications from 2021–2025 indexed in PubMed, Scopus and eLibrary were analysed. Methodological aspects of multiparametric breast MRI were reviewed, including dynamic contrast enhancement, diffusion-weighted imaging with ADC calculation and morphological assessment according to BI-RADS v2025.</p></sec><sec><title>Results</title><p>Results: Updated BI-RADS v2025 MRI descriptors improve reproducibility and diagnostic specificity through standardisation of imaging parameters, refinement of margin and peripheral enhancement criteria and formalisation of T2 signal characteristics. MRI demonstrates high sensitivity in detecting both focal and infiltrative breast cancers. Integration with vacuum-assisted biopsy optimises diagnostic and treatment algorithms in indeterminate cases.</p></sec><sec><title>Conclusion</title><p>Conclusion: Breast MRI remains a key modality for personalised breast diagnostics, surpassing traditional imaging methods in sensitivity. BI-RADS v2025 contributes to reduced interpretation variability, decreased overdiagnosis and expandedclinical application in screening, differential diagnosis and treatment monitoring.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>магнитно-резонансная томография</kwd><kwd>маммология</kwd><kwd>заболевания молочной железы</kwd><kwd>дифференциальная диагностика</kwd><kwd>доброкачественные новообразования</kwd><kwd>рак молочной железы</kwd><kwd>BIRADS</kwd><kwd>вакуумная биопсия</kwd></kwd-group><kwd-group xml:lang="en"><kwd>magnetic resonance imaging</kwd><kwd>breast diseases</kwd><kwd>mammology</kwd><kwd>differential diagnosis</kwd><kwd>breast cancer</kwd><kwd>benign neoplasms</kwd><kwd>BI-RADS</kwd><kwd>vacuum-assisted biopsy</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Авторы выражают признательность коллегам отделения лучевой диагностики ФМБЦ за обсуждение материалов</funding-statement><funding-statement xml:lang="en">The authors thank colleagues from the Department of Radiology of the Burnasyan Federal Medical Biophysical Center for discussion of the materials</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Каприн АД, Старинский ВВ, Шахзадова АО. 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